Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings.
Cem OrnekElif VuralPublished in: CoRR (2017)
Keyphrases
- supervised dimensionality reduction
- dimensionality reduction
- linear transformation
- dimensionality reduction methods
- kernel pca
- least squares
- low dimensional
- kernel trick
- distance measure
- linear discriminant analysis
- lower dimensional
- manifold learning
- vector space
- high dimensional data
- feature extraction
- fisher discriminant analysis
- multimodal data
- high dimensional feature space
- euclidean space
- high dimensional
- pattern recognition
- machine learning
- computer vision
- face recognition
- piecewise linear
- principal component analysis
- dimension reduction
- discriminant analysis
- data sets
- singular value decomposition